Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Fridtjof Nüsslin"'
Autor:
Jan C. Peeken, Matthew B. Spraker, Carolin Knebel, Hendrik Dapper, Daniela Pfeiffer, Michal Devecka, Ahmed Thamer, Mohamed A. Shouman, Armin Ott, Rüdiger von Eisenhart-Rothe, Fridtjof Nüsslin, Nina A. Mayr, Matthew J. Nyflot, Stephanie E. Combs
Publikováno v:
EBioMedicine, Vol 48, Iss , Pp 332-340 (2019)
Background: Treatment decisions for multimodal therapy in soft tissue sarcoma (STS) patients greatly depend on the differentiation between low-grade and high-grade tumors. We developed MRI-based radiomics grading models for the differentiation betwee
Externí odkaz:
https://doaj.org/article/c85858e6dfa949d5ae6d341cf5dd742c
Autor:
Steffi U Pigorsch, Chaline May, Kerstin A Kessel, Simone Graf, Henning Bier, Fridtjof Nüsslin, Birgit Waschulzik, Stephanie E Combs
Publikováno v:
PLoS ONE, Vol 15, Iss 9, p e0237501 (2020)
PurposeThe concept of dysphagia/aspiration-related structures (DARS) was developed against the background of severe late side effects of radiotherapy (RT) for head and neck cancer (HNC). DARS can be delineated on CT scans, but with a better morpholog
Externí odkaz:
https://doaj.org/article/6bca817be282494c8c911be4f0cbf827
Autor:
Kerstin Anne Kessel, Anne W. M. Lee, Søren M. Bentzen, Bhadrasain Vikram, Fridtjof Nüsslin, Stephanie E. Combs
Publikováno v:
Frontiers in Oncology, Vol 8 (2018)
Externí odkaz:
https://doaj.org/article/5dfb1e8dcf5642b6b92c6019b65d0a91
Autor:
Matthew J. Nyflot, Matthew B. Spraker, Mohamed A. Shouman, Rüdiger von Eisenhart-Rothe, Jan C. Peeken, Armin Ott, Michal Devecka, Fridtjof Nüsslin, Nina A. Mayr, Stephanie E. Combs, Hendrik Dapper, Carolin Knebel, Daniela Pfeiffer, Ahmed Thamer
Publikováno v:
EBioMedicine 48, 332-340 (2019)
EBioMedicine
EBioMedicine
Background Treatment decisions for multimodal therapy in soft tissue sarcoma (STS) patients greatly depend on the differentiation between low-grade and high-grade tumors. We developed MRI-based radiomics grading models for the differentiation between
Autor:
Fridtjof Nüsslin
Publikováno v:
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 79
Rontgen's discovery of a new type of radiation is the epochal event in a series of highlights of physics emerging within only a few decades of the late 19th century. As these discoveries are directly or indirectly rooting in the study of the phenomen
Autor:
Burkhard Rost, Tatyana Goldberg, Fridtjof Nüsslin, Jan J. Wilkens, Stephanie E. Combs, Daniel Cremers, Jan C. Peeken, Benedikt Wiestler, Michael Bernhofer
Publikováno v:
Physica Medica. 48:27-36
Purpose Noticing the fast growing translation of artificial intelligence (AI) technologies to medical image analysis this paper emphasizes the future role of the medical physicist in this evolving field. Specific challenges are addressed when impleme
Autor:
Michael Bernhofer, Jan C. Peeken, Fridtjof Nüsslin, Francesco Pasa, Christoph Knie, Kerstin A. Kessel, Burkhard Rost, Stephanie E. Combs, Basil Komboz, Tatyana Goldberg, Pouya D. Tafti, Andreas E. Braun
Publikováno v:
Strahlentherapie und Onkologie. 194:824-834
Current prognostic models for soft tissue sarcoma (STS) patients are solely based on staging information. Treatment-related data have not been included to date. Including such information, however, could help to improve these models. A single-center
Publikováno v:
Strahlentherapie und Onkologie. 193:767-779
Introduction Radiomics, a recently introduced concept, describes quantitative computerized algorithm-based feature extraction from imaging data including computer tomography (CT), magnetic resonance imaging (MRT), or positron-emission tomography (PET
Autor:
Jan J. Wilkens, Peter Vaupel, Sibylle Ziegler, Fridtjof Nüsslin, Christine Bayer, Kuangyu Shi, Florian C. Gaertner, Sabrina T. Astner
Publikováno v:
Physiological Measurement. 38:188-204
Positron-emission tomography (PET) with hypoxia specific tracers provides a noninvasive method to assess the tumor oxygenation status. Reaction-diffusion models have advantages in revealing the quantitative relation between in vivo imaging and the tu
Autor:
Jan C. Peeken, Tatyana Goldberg, Stephanie E. Combs, Kerstin A. Kessel, Michael Bernhofer, Claus Zimmer, Thomas Pyka, Pouya D. Tafti, Benedikt Wiestler, Andreas E. Braun, Burkhard Rost, Fridtjof Nüsslin
Publikováno v:
Cancer Med. 8, 128-136 (2019)
Cancer Medicine
Cancer Medicine
Cancer Medicine published by John Wiley & Sons Ltd. BACKGROUND: For Glioblastoma (GBM), various prognostic nomograms have been proposed. This study aims to evaluate machine learning models to predict patients' overall survival (OS) and progression-fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8e3293f8a84f7c233d15cb711afe3da
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=55408
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=55408